Google, Kaggle Relaunch Free AI Course Focused on ‘Vibe Coding’
1.5 million learners already enrolled; now learn to build agents with natural language.
Google and Kaggle have announced the return of their joint '5-Day AI Agents Intensive Course,' running from June 15 to 19, 2026, with registration now open. The previous iteration drew over 1.5 million learners, and this refreshed version introduces new instructors and updated materials with a stronger emphasis on practical, real-world applications. The headline concept this year is 'vibe coding,' where natural language becomes the primary way developers interact with software systems—building AI agents using prompts, tools, and integrations instead of writing code line by line. Kaggle describes the course as one that 'dives deeper into building powerful AI agents from foundational concepts to production-ready systems.' Participants will explore creating '10x agents' by connecting APIs, enabling tool use, and coordinating multiple agents, covering memory, context handling, and system design for advanced autonomous systems.
The program is structured as a five-day online intensive blending theory with hands-on work. Each day introduces a different layer of agent development, from basic concepts to production deployment, with daily assignments, live discussions, and livestream sessions featuring course contributors. A final capstone project lets learners apply their knowledge, with top submissions earning recognition and rewards on the platform. The course is free to join, requiring only accounts on Kaggle and Google AI Studio. As companies increasingly adopt AI systems, demand for workers who can build, evaluate, and deploy these tools is rising quickly. By focusing on natural language workflows, vibe coding could make software development more accessible to people without deep programming backgrounds, lowering the barrier to entry for a wide range of roles.
- Free 5-day intensive course runs June 15-19, 2026, with over 1.5 million previous learners
- Focuses on 'vibe coding'—building AI agents using natural language prompts instead of traditional code
- Curriculum covers APIs, tool use, multi-agent coordination, memory, and context handling for production-ready systems
Why It Matters
Democratizes AI agent development, making it accessible to non-programmers via natural language workflows.